Category Archives: Ai
World must prepare for ‘profound implications’ of AI and distribute its … – CNA
SINGAPORE: In the midst of the digital revolution and the advent of artificial intelligence (AI), the world must prepare for the associated risks and distribute the benefits fairly, said Minister for Foreign Affairs Vivian Balakrishnan at the United Nations General Assembly (UNGA) on Friday (Sep 22).
Generative AI like ChatGPT has captured the popular imagination in the past year, but the world is already on the verge of the next stage of the technology AI agents that can negotiate and transact with each other and humans, he added.
This has profound implications on all our societies, on our politics and our economies everywhere. And autonomous weapon systems without human fingers on the triggers are already with us, he said, delivering Singapore's statement to the UNGA in New York.
Quoting UN Secretary-General Antonio Guterres words at the opening of the UNGA this week, Dr Balakrishnan stressed that while generative AI holds much promise, it may also lead the world into more danger than we can control.
This is especially so in the theatre of war and peace, he continued, adding that AI will disrupt assumptions on military doctrines and strategic deterrence.
For example, since AI-enabled weapons systems can be deployed and triggered almost instantly, decision times for leaders would be dramatically reduced, said Singapores Foreign Affairs Minister.
There will be many occasions when humans may not even be in the firing loop, but we will be on the firing line. This would inevitably heighten the risks of unintended conflicts or the escalation of conflicts, he added.
During the Cold War, the sense of mutually assured destruction imposed mutual restraint, although there were several close shaves, said Dr Balakrishnan.
This spectre of nuclear escalation has not disappeared. And yet the advent of artificial intelligence in conflict situations has actually increased the risks exponentially, he added.
We must start an inclusive global dialogue, and we must start it at the United Nations. We need to urgently consider the oversight of such systems and the necessary precautions to avoid miscalculations.
Singapore welcomes the decision to convene the High-Level Advisory Body on AI to explore these issues and is optimistic that the UN and the multilateral system will be up to the task of establishing norms on these fast-emerging technologies, said the Foreign Affairs Minister.
The reality is that many nations are not ready for the wave of digital transformation sweeping our world. We should not forget that, even today, more than 2 billion people still have no internet access. And we need to work far harder to bridge that digital divide, he continued.
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World must prepare for 'profound implications' of AI and distribute its ... - CNA
Meta Stock Has Room to Soar. How Ads and AI Can Drive Growth. – Barron’s
Meta Platforms stock could gain significantly in the next three months, driven by advertising and artificial intelligence, according to a Citi analyst.
Citi analyst Ronald Josey rates Meta (ticker: META) a Buy with a $385 price target, which implies a 30% gain from the stocks closing price on Thursday.
Josey also opened a 90-day Positive Catalyst Watch on the shares as he anticipates more stock gains to come amid an upsurge in advertising and excitement around AI.
We believe Meta is taking share of the broader online advertising market, Josey said in a research note Thursday. This belief is defended by greater advertising demand amid an improving market, the analyst said.
We believe there remains upside as engagement grows, he added.
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A slowdown in advertising has affected many social-media platforms over the past year. But there have been signs the ad market is improving. Metas advertising revenue was $31.5 billion in its second quarter, up 12% from the previous year.
Josey also anticipates the stock will gain after the company provides more insight into its AI investments and plans at the Meta Connect virtual event happening on Sept. 27 and Sept. 28.
Meta stock has been a major beneficiary of AI hype as investors have bought shares of companies with exposure to the technology. Meta stock has surged 151% this year while the tech-heavy Nasdaq Composite index has jumped 26%.
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Chief Executive Mark Zuckerberg said during Metas latest earnings call on July 26 that he planned to share more details regarding AI later this year. Adding: But you can imagine lots of ways that AI can help people connect and express themselves in our apps: creative tools that make it easier and more fun to share content, agents that act as assistants, coaches that can help you interact with businesses and creators, and more.
Shares of Meta were rising 2.3% Friday to $302.52.
Write to Angela Palumbo at angela.palumbo@dowjones.com
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Meta Stock Has Room to Soar. How Ads and AI Can Drive Growth. - Barron's
Microsoft AI researchers accidentally exposed terabytes of internal sensitive data – TechCrunch
Image Credits: Getty Images
Microsoft AI researchers accidentally exposed tens of terabytes of sensitive data, including private keys and passwords, while publishing a storage bucket of open source training data on GitHub.
In research shared with TechCrunch, cloud security startup Wiz said it discovered a GitHub repository belonging to Microsofts AI research division as part of its ongoing work into the accidental exposure of cloud-hosted data.
Readers of the GitHub repository, which provided open source code and AI models for image recognition, were instructed to download the models from an Azure Storage URL. However, Wiz found that this URL was configured to grant permissions on the entire storage account, exposing additional private data by mistake.
This data included 38 terabytes of sensitive information, including the personal backups of two Microsoft employees personal computers. The data also contained other sensitive personal data, including passwords to Microsoft services, secret keys and more than 30,000 internal Microsoft Teams messages from hundreds of Microsoft employees.
The URL, which had exposed this data since 2020, was also misconfigured to allow full control rather than read-only permissions, according to Wiz, which meant anyone who knew where to look could potentially delete, replace and inject malicious content into them.
Wiz notes that the storage account wasnt directly exposed. Rather, the Microsoft AI developers included an overly permissive shared access signature (SAS) token in the URL. SAS tokens are a mechanism used by Azure that allows users to create shareable links granting access to an Azure Storage accounts data.
AI unlocks huge potential for tech companies, Wiz co-founder and CTO Ami Luttwak told TechCrunch. However, as data scientists and engineers race to bring new AI solutions to production, the massive amounts of data they handle require additional security checks and safeguards. With many development teams needing to manipulate massive amounts of data, share it with their peers or collaborate on public open source projects, cases like Microsofts are increasingly hard to monitor and avoid.
Wiz said it shared its findings with Microsoft on June 22, and Microsoft revoked the SAS token two days later on June 24. Microsoft said it completed its investigation on potential organizational impact on August 16.
In a blog post shared with TechCrunch before publication, Microsofts Security Response Center said that no customer data was exposed, and no other internal services were put at risk because of this issue.
Microsoft said that as a result of Wizs research, it has expanded GitHubs secret spanning service, which monitors all public open source code changes for plaintext exposure of credentials and other secrets to include any SAS token that may have overly permissive expirations or privileges.
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Microsoft AI researchers accidentally exposed terabytes of internal sensitive data - TechCrunch
Google nears release of AI software Gemini, The Information reports – Reuters
A logo is pictured at Google's European Engineering Center in Zurich, Switzerland July 19, 2018 REUTERS/Arnd Wiegmann/File Photo/File Photo Acquire Licensing Rights
Sept 14 (Reuters) - Alphabet's (GOOGL.O) Google has given a small group of companies access to an early version of Gemini, its conversational artificial intelligence software, The Information reported on Thursday, citing people familiar with the matter.
Gemini is intended to compete with OpenAI's GPT-4 model, according to the report.
For Google, the stakes of Gemini's launch are high. Google has intensified investments in generative AI this year as it plays catch-up after Microsoft-backed OpenAI's launch of ChatGPT last year took the tech world by storm.
Gemini is a collection of large-language models that power everything from chatbots to features that either summarize text or generate original text based on what users want to read like email drafts, music lyrics, or news stories, the report said.
It is also expected to help software engineers write code and generate original images based on what users ask to see.
Google is currently giving developers access to a relatively large version of Gemini, but not the largest version it is developing which would be more on par with GPT-4, the report said.
The search and advertising giant plans to make Gemini available to companies through its Google Cloud Vertex AI service.
Google did not immediately respond to a Reuters request for comment.
Last month, the company introduced generative AI to its Search tool for users in India and Japan that will show text or visual results to prompts, including summaries. It had also made its AI-powered tools available to enterprise customers at a monthly price of $30 per user.
Reporting by Rishabh Jaiswal in Bengaluru; Editing by Sherry Jacob-Phillips
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Google nears release of AI software Gemini, The Information reports - Reuters
AI won’t be replacing your priest, minister, rabbi or imam any time soon – The Conversation
Early in the summer of 2023, robots projected on a screen delivered sermons to about 300 congregants at St. Pauls Church in Bavaria, Germany. Created by ChatGPT and Jonas Simmerlein, a theologian and philosopher from the University of Vienna, the experimental church service drew immense interest.
The deadpan sermon delivery prompted many to doubt whether AI can really displace priests and pastoral instruction. At the end of the service, an attendee remarked, There was no heart and no soul.
But the growing use of AI may prompt more churches to debut AI-generated worship services. A church in Austin, Texas, for example, has put a banner out advertising a service with an AI-generated sermon. The church worship will also include an AI-generated call to worship and pastoral prayer. Yet this use of AI has prompted concerns, as these technologies are believed to disrupt authentic human presence and leadership in religious life.
My research, alongside others in the interdisciplinary fields of digital religion and human-machine communication, illuminates what is missing in discussions of AI, which tend to be machine-centric and focused on extreme bright or dark outcomes.
It points to how religious leaders are still the ones influencing the latest technologies within their organizations. AI cannot simply displace humans, since storytelling and programming continue to be critical for its development and deployment.
Here are three ways in which machines will need a priest.
Given rapid changes in emerging technologies, priests have historically served as gatekeepers to endorse and invest in new digital applications. In 2015, in China, the adoption of Xian'er, the robot monk, was promoted as a pathway to spiritual engagement by the master priest of the Buddhist Longquan Temple in Beijing.
The priest rejected claims that religious AI was sacrilegious and described innovation in AI as spiritually compatible with religious values. He encouraged the incorporation of AI into religious practices to help believers gain spiritual insight and to elevate the temples outreach efforts in spreading Buddhist teachings.
Similarly, in 2019, the head priest of the Kodai-ji Buddhist temple in Kyoto, Japan, named an adult-size android Kannon Mindar, after the revered Goddess of Mercy.
This robotic deity, who can preach the Heart Sutra, a classic and popular Buddhist scripture, was intentionally built in partnership with Osaka University, with a cost of about US$1 million. The idea behind it was to stimulate public interest and connect religious seekers and practitioners with Buddhist teachings.
By naming and affirming AI use in religious life, religious leaders are acting as key influencers in the development and application of robots in spiritual practice.
Today, much of AI data operations remain invisible or opaque. Many adults do not recognize how much AI is already a part of our daily lives, for example in customer service chatbots and custom product recommendations.
But human decision making and judgment about technical processes, including providing feedback for reinforcement learning and interface design, is vital for the day-to-day operations of AI.
Consider the recent robotic initiatives at the Grand Mosque in Saudi Arabia. At this mosque, multilingual robots are being deployed for multiple purposes, including providing answers to questions related to ritual performances in 11 languages.
Notably, while these robots stationed at the Grand Mosque can recite the Holy Quran, they also provide visitors with connections to local imams. Their touch-screen interfaces are equipped with bar codes, allowing users to learn more about the weekly schedules of mosque staff, including clerics who lead Friday sermons. In addition, these robots can connect visitors with Islamic scholars via video interactions to answer their queries around the clock.
What this shows is that while robots can serve as valuable sources of religious knowledge, the strategic channeling of inquiries back to established religious leaders is reinforcing the credibility of priestly authority.
Clergy are trying to raise awareness of AIs potential for human flourishing and well-being. For example, in recent years, Pope Francis has been vocal in addressing the potential benefits and disruptive dangers of the new AI technologies.
The Vatican has hosted technology industry leaders and called for ethical guidelines to safeguard the good of the human family and maintain vigilance against technology misuse. The ethical use of AI for religion includes a concern for human bias in programming, which can result in inaccuracies and unsafe outcomes.
In June 2023, the Vaticans culture and education body, in partnership with Santa Clara University, released a 140-page AI ethics handbook for technology organizations. The handbook stressed the importance of embedding moral ideals in the development of AI, including respect for human dignity and rights in data privacy, machine learning and facial recognition technologies.
By creating and sharing ethical guidelines on AI, religious leaders can speak to future AI development from its inception, to guide design and consumer implementation toward cherished values.
In sum, while religious leaders appear to be undervalued in AI development and discourse, I argue that it is important to recognize the ways in which clergy are contributing to skillful communication involving AI technologies. In the process, they are co-constructing the conversations that chatbots such as the one at the church in Bavaria are having with congregants.
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AI won't be replacing your priest, minister, rabbi or imam any time soon - The Conversation
AI and E-commerce: Simplifying the Sales Process – CO by the U.S. Chamber of Commerce
AI tools can help small business owners design digital storefronts, market to customers, and protect online information. Getty Images/Thana Prasongsin
Artificial intelligence has quietly been influencing the way we shop for years. Brands are using AI to predict consumer spending habits, answer customer service requests, and streamline order fulfillment. E-commerce, in particular, is a market segment in which AI can help simplify sales. According to Statista, e-commerce companies are using AI for everything from personalization to forecasting to marketing to fraud prevention.
The tools on this list can help e-commerce companies optimize the overall sales process by bringing traffic to the site, reducing cart abandonment rates, and streamlining order fulfillment and delivery.
AI can help match customers to the products theyre looking for, as well as encourage them to browse items they didnt know they wanted.
Clerk uses artificial intelligence to analyze customer behavior to personalize the sales process in a way that grows sales by 1530%. The Clerk algorithm personalizes the shopping experience, using data from visitor behavior, trends, and transactions to present e-shoppers with the most relevant search results, product recommendations, and much more. It works with popular e-commerce platforms including Shopify, Magento, BigCommerce, and WooCommerce.
[Read more: How Artificial Intelligence (AI) Is Changing How Marketers Sell Everything From Food to Fashion]
Syte is another platform that uses AI to optimize the shopping experience. Tailored to the needs of e-commerce jewelry, home decor, and fashion retailers, Sytes visual AI helps customers find the products that theyre looking for faster. It can provide product recommendations based on what the user has been browsing.
Similarly, Phrasee uses AI to generate marketing messages across the customer journey. When a customer is browsing a certain product line, Phrasee can recommend a complementary product or send through a free shipping offer. Its an especially powerful tool for lowering cart abandonment rates.
E-commerce storefronts have the unique challenge of being always open unlike brick-and-mortar stores, shoppers can browse your website at midnight, during a holiday, or while youre on vacation. AI-powered chatbots help keep things running by fielding customer queries and troubleshooting basic service needs so you never miss a sale.
Great for startups, Reetail will help write product descriptions, offer marketing ideas, and even generate social media ads.
Netomi provides a range of artificial intelligence solutions that help address customer needs. Netomi can do everything from explaining a returns policy to finding the right size product to managing order modifications and shipping updates. Netomi can also foster customer loyalty with well-timed discounts and proactive care.
Manychat is a similar tool that automates customer conversations through Instagram Direct Messages, on Facebook Messenger, and via SMS. Manychats AI can field frequently asked questions on these channels to increase engagement and lead generation. The brand claims that these automated conversations lead to click-through rates 130% higher than the industry average.
E-commerce businesses process customer and payment data, making them an enticing target for hackers and malware. And, unfortunately, small businesses in particular fall victim to online fraud attempts.
Riskified is designed to protect e-commerce businesses from fraud. It works behind the scenes to ensure all transactions are above board and reduce chargebacks, identifying the individual behind each transaction. Riskified promises revenue growth for businesses that implement its solution to protect their customer data.
Likewise, Signifyd is designed to instantly recognize good shoppers and approve 59% more orders, on average. Its proprietary AI uses a huge dataset of previous global transactions to spot patterns and catch fraud attempts before they hit your bottom line.
[Read more: Top Supply Chain Tips from Inventory Management Experts]
Reetail's AI helps you get a website set up and launched quickly. Great for startups, Reetail will help write product descriptions, offer marketing ideas, and even generate social media ads. Its integrated with Stripe, so your website can start accepting orders sooner rather than later.
Looking for deeper customer insights? You might want to try Spatial, an AI tool that unites data from online and offline sales in one clear picture. Omnichannel brands can personalize offers to previous customers and anonymous website visitors to supercharge digital and social campaigns, the website promises. Use Spatial to improve targeting, develop new products, and understand shopper behavior on a deeper level.
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Published September 15, 2023
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AI and E-commerce: Simplifying the Sales Process - CO by the U.S. Chamber of Commerce
Teachers Are Going All In on Generative AI – WIRED
Past research shows that large language models are capable of generating text harmful to some groups of people, including those who identify as Black, women, people with disabilities, and Muslims. Since 90 percent of students who attend schools that work with Charter School Growth Fund identify as people of color, Connell says, having a human in the loop is even more important, because it can pretty quickly generate content that is not OK to put in front of kids.
April Goble, executive director of charter school group KIPP Chicago, which has many students who are people of color, says understanding the risk tied to integrating AI into schools and classrooms is an important issue for those trying to ensure AI helps rather than harms students. AI has a history of bias against the communities we serve, she says.
Last week, the American Federation of Teachers, a labor union for educators, created a committee to develop best practices for teachers using AI, with guidelines due out in December. Its president, Randi Weingarten, says that although educators can learn to harness the strength of AI and teach kids how to benefit too, the technology shouldnt replace teachers and should be subject to regulation to ensure accuracy, equity, and accessibility. Generative AI is the next big thing in our classrooms, but developers need a set of checks and balances so it doesnt become our next big problem.
Its too early to know much about how teachers use of generative text affects students and what they can achieve. Vincent Aleven, co-editor of an AI in education research journal and a professor at Carnegie Mellon University worries about teachers assigning nuanced tasks to language models like grading or how to address student behavior problems where knowledge about a particular student can be important. Teachers know their students. A language model does not, he says. He also worries about teachers growing overly reliant on language models and passing on information to students without questioning the output.
Shana White, a former teacher who leads a tech justice and ethics project at the Kapor Center, a nonprofit focused on closing equity gaps in technology, says teachers must learn not to take what AI gives them at face value. During a training session with Oakland Unified School District educators this summer, teachers using ChatGPT to make lesson plans discovered errors in its output, including text unfit for a sixth grade classroom and inaccurate translations of teaching material from English to Spanish or Vietnamese.
Due to a lack of resources and relevant teaching material, some Black and Latino teachers may favor generative AI use in the classroom, says Antavis Spells, a principal in residence at a KIPP Chicago school who started using MagicSchool AI six weeks ago. He isnt worried about teachers growing overly reliant on language models. Hes happy with how the tool saves him time and lets him feel more present and less preoccupied at his daughters sporting events, but also with how he can quickly generate content that gives students a sense of belonging.
In one instance three weeks ago, Spells got a text message from a parent making a collage for her sons birthday who asked him to share a few words. With a handful of adjectives to describe him, Spells responded to the message with a custom version of the students favorite song, Put On, by Young Jeezy and Kanye West.
I sent that to the parent and she sent me back crying emojis, Spells says. Just to see the joy that it brought to a family and it probably took me less than 60 seconds to do that. KIPP Chicago plans to begin getting feedback from parents and rolling out use of MagicSchool to more teachers in October.
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The iPhone 15 Opts for Intuitive AI, Not Generative AI – WIRED
Tech product launches in 2023 have become predictable: Everything now comes with generative AI features that will serve up chatty but knowledgeable text or mind-blowing images. The rollout of the iPhone 15 this week shows Apple opting to Think Different.
The new device comes with the A17 Pro processor, an Apple-designed chip to put more power behind machine-learning algorithms. But the features highlighted at the launch event yesterday were generally subtle, not mind expanding. The company appears focused on AI that is intuitive not generative, making artificial intelligence a part of your life that smoothes over glitches or offers helpful predictions without being intrusive. Apple made a similar choice to ignore the generative AI bandwagon earlier this year at its developer conference in June.
A new voice-isolation feature for the iPhone 15, for example, uses machine learning to recognize and home in on the sound of your voice, quieting background noise on phone calls. As usual for iPhone launches, yesterdays event spent ample time on the power of the new phones camera and image-enhancing software. Those features lean on AI too, including automatic detection of people, dogs, or cats in a photo frame to collect depth information to help turn any photo into a portrait after the fact.
Additional AI-powered services are also coming to newer iPhone models via the new iOS 17 operating system, due out next week. They include automated transcription of voicemails, so a person can see whos calling before picking up a phone call, and more extensive predictive text recommendations from the iPhone keyboard. Neither is as flashy as a know-it-all chatbot. But by making life easier, they just might convince people to spend more time with their phones, pushing up usage of Apples services.
Apples intuitive AI is also at work in some new accessibility features. For people who are blind or have low vision, a new Point and Speak feature in the Magnifier app will let them aim the camera at objects with buttons like a microwave and hear their phone say which their finger is touching. For people with medical conditions like ALS that can rob a person of the ability to speak, iOS 17 can create a synthetic voice that sounds like them after they read 15 minutes of text prompts.
Smartphones have become hard to improve on with transformative new features, and overall the iPhone 15 rollout was underwhelming, says Tuong Nguyen, director analyst at Gartner covering emerging technology. But Apple excels at the kind of interface design that makes subtle AI-powered features work.
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The iPhone 15 Opts for Intuitive AI, Not Generative AI - WIRED
Philosophy Forum Online Presenter to Speak on AI, Robots, and … – The University of Southern Mississippi
Fri, 09/15/2023 - 09:40am | By: David Tisdale
How humankind coexists with artificial intelligence (AI) and the existing and potential impacts of the intersection of ever-advancing technology and everyday life will be among the issues discussed at the first University of Southern Mississippi (USM) Philosophy and Religion Online Forum presentation for the fall 2023 semester.
Keith Abney, an award-winning senior lecturer in the Department of Philosophy at California Polytechnic State University (Cal Poly), will present AI, Robots, and Ethics: Surveying the Risk Environment Wednesday, Sept. 20 at 6:30 p.m. via Zoom. Access to Abneys online presentation can be made with the following information:
*Topic: Philosophy & Religion Forum
*Join Zoom Meeting
*Meeting ID: 847 3764 0491
Abney holds a graduate degree in history and philosophy of science from Notre Dame University. His areas of expertise include philosophy of science, science and religion, applied ethics and axiology; at Cal Poly, his course offerings include philosophy of biology, business ethics, ethics, philosophy of science, and logic and argumentative writing.
The USM Philosophy and Religion Forum is presented with generous support from Fairchild Lecture Funds and the USM Foundation. For more information on the forum series, contact Dr.%20Amy%20Slagle.
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Don’t Count on Tesla’s Dojo Supercomputer to Jump-Start an AI … – WIRED
Youd have to be pretty brave to bet against the idea that applying more computing power and data to machine learninga recipe that birthed ChatGPTwont lead to further advances of some kind in artificial intelligence. Even so, youd be braver still to bet that combo will produce specific advances or breakthroughs on a specific timeline, no matter how desirable.
A report issued last weekend by the investment bank Morgan Stanley predicts that a supercomputer called Dojo, which Tesla is building to boost its work on autonomous driving, could add $500 billion to the companys value by providing a huge advantage in carmaking, robotaxis, and selling software to other businesses.
The report juiced Teslas stock price, adding more than 6 percent, or $70 billionroughly the value of BMW and much less than Elon Musk paid for Twitterto the EV-makers market cap as of September 13.
The 66-page Morgan Stanley report is an interesting read. It makes an impassioned case for why Dojo, the custom processors that Tesla has developed to run machine learning algorithms, and the huge amount of driving data the company is collecting from Tesla vehicles on the road, could pay huge dividends in future. Morgan Stanleys analysts say that Dojo will provide breakthroughs that give Tesla an asymmetric advantage over other carmakers in autonomous driving and product development. The report even claims the supercomputer will help Tesla branch into other industries where computer vision is critical, including health care, security, and aviation.
There are good reasons to be cautious about those grandiose claims. You can see why, at this particular moment of AI mania, Teslas strategy might seem so enthralling. Thanks to a remarkable leap in the capabilities of the underlying algorithms, the mind-bending abilities of ChatGPT can be traced back to a simple equation: more compute x more data = more clever.
The wizards at OpenAI were early adherents to this mantra of moar, betting their reputations and their investors millions on the idea that supersizing the engineering infrastructure for artificial neural networks would lead to big breakthroughs, including in language models like those that power ChatGPT. In the years before OpenAI was founded, the same pattern had been seen in image recognition, with larger datasets and more powerful computers leading to a remarkable leap in the ability of computers to recognizealbeit at a superficial levelwhat an image shows.
Walter Isaacsons new biography of Musk, which has been excerpted liberally over the past week, describes how the latest version of Teslas optimistically-branded Full Self Driving (FSD) software, which guides its vehicles along busy streets, relies less on hard-coded rules and more on a neural network trained to imitate good human driving. This sounds similar to how ChatGPT learns to write by ingesting endless examples of text written by humans. Musk has said in interviews that he expects a Tesla to have ChatGPT moment with FSD in the next year or so.
Musk has made big promises about breakthroughs in autonomous driving many times before, including a prediction that there would be a million Tesla robotaxis by the end of 2020. So lets consider this one carefully.
By developing its own machine learning chips and building Dojo, Tesla could certainly save money on training the AI systems behind FSD. This may well help it do more to improve its driving algorithms using the real-world driving data it collects from its cars, which competitors lack. But whether those improvements will cross an inflection point in autonomous driving or computer vision more generally seems virtually impossible to predict.
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Don't Count on Tesla's Dojo Supercomputer to Jump-Start an AI ... - WIRED